{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Capital Bikeshare"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入必要的工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"day.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据基本信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.4+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "instant       0\n",
       "dteday        0\n",
       "season        0\n",
       "yr            0\n",
       "mnth          0\n",
       "holiday       0\n",
       "weekday       0\n",
       "workingday    0\n",
       "weathersit    0\n",
       "temp          0\n",
       "atemp         0\n",
       "hum           0\n",
       "windspeed     0\n",
       "casual        0\n",
       "registered    0\n",
       "cnt           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 查看是否有空值\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 探索数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 单变量分布分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Rg4lew3JTGZWfzvYDFZypje0bN0UbSxAmpBe3HqW1zc8t14wjMcE+JiZ6eTwe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\nq5NFEt8iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11361fad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cnt distribution\n",
    "fig = plt.figure()\n",
    "sns.distplot(data.cnt.values, bins=50, kde=True)\n",
    "plt.xlabel('# of people rent the bike', fontsize=14)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113afcbd0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pVBkDjTdPAW/JzP+meAE+G9icmf8GPEERix3ADyn29/8zcFFEbKcIxnbg7eVzbQa+ERFv\nZ3A3UOxi2g6sAa7PzDedtZGZLwHfAXZExA+A3cCWAc/TzPeSRsyziSRJbhlIkoyBJAljIEnCGEiS\nMAaSJIyBJAljIEkC/h9a02jKOLT1AgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113841bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.weathersit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11394c490>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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X5wDejDgFmfll4Ixy9bXAEw2W0w0+A3wO+FnThUyVYVCBzLwReK7pOrpBZv4yM4cjog+4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\nIEnCMJAkAf8PCsE4VuW9eEsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113771510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.season)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11373fd50>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1138e0a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.mnth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1137e2710>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kw0CStHAmkNVlLgGihS4ing+8JzOHm65lMbBnsHi5BIgWrIh4M3AP0Nd0LYuFYbB4uQSI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\n7gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11396ed90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.holiday)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113f9e950>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7VxBHaoplIEnypjN1r4h4DDghM5+MiOuAlzLzz8u7z/8GuBs4AZgI3Aqcm5mDEXEScDbF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\nor6IPU8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1172a21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.weekday)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x119746850>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kGUiSZs8JZLWZjwDRbBcRlwF3Z+byurN0AkcGnctHgGjWiohbgc1AT91ZOoVl0Ll8BIhm\ns9eAa+sO0Uksg841HzjQMH8kIjxsqFkhMx8D3q07RyexDDqXjwCR9B7LoHP5CBBJ7/GwQOfyESCS\n3uPjKCRJHiaSJFkGkiQsA0kSloEkCctAkoRlIEnCMpAk4U1n0hmJiIeBHZn5D+X808DlwHbgEuD6\nzHypxohSSxwZSGfmAeAGgIi4EPhN4AXgZ5kZFoHOFpaBdGaeAT4aERcBXwC+Xy5/oa5A0umwDKQz\nkJkTwEPA54HrgIfLVf9XWyjpNFgG0pnbAtwI7MvMX9ScRTotloF0hjJzH7CPohSks5JPLZXOQER0\nAb8FPAt8LDPHa44knRZHBtKZ+TPgv4B1FoHOZo4MJEmODCRJloEkCctAkoRlIEnCMpAkAf8PDqrD\nibHBjdoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117fc2fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.yr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11dd969d0>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yLCRJRYaFJKnIsJAkFRkWkqQiw0KSVGRYSJKKDAtJUpFhIUkqMiwkSUWGhSSpyLCQJBUZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e5eed10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.registered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f51de90>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cf73490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.casual)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ae599d0>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GjCSpjCEjSSpjyEiSyhgykqQyhowkqYwhI0kqY8hIksoYMpKkMoaMJKmMISNJKmPISJLK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\niLhiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1189367d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.dteday)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b8d4850>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BIUkqMiAkSUUGhCSpyICQJBUZEJKkIgNCklRkQEiSigwISVKRASFJKjIgJElFU+oqHBF9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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113b9e390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.instant)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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N96K5AIH3+ccff8Ty5cvR2tome44kPT0DRqO5x/MN97vZv38S73I5rptDAO6k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\n5PQ/QOj1YAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11acea1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scatter plot\n",
    "plt.scatter(range(data.shape[0]), data[\"cnt\"].values,color='black')\n",
    "plt.title(\"Distribution of cnt\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(731, 16)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# remove outliers\n",
    "data = data[data.cnt < 8500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(729, 16)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 输入属性的直方图／分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uWoPDITOzZiILgmwmaJr84uV6DODeG8qtLkeIqEpyOVizykNP/xjV9T1WlxO3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\nnAS5EELYnAS5EELY3P8HRTV3PWQaxvYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a395910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(data.temp.values, bins=30, kde=True)\n",
    "plt.xlabel('temperature', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dKBblbMsAgyMTrKvMpTDX3vuMiKutmBpeaekesbgSsRgS5GLBwpEoJxp7cTkNtlYXWF2O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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a495210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(data.atemp.values, bins=30, kde=True)\n",
    "plt.xlabel('atemp', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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w4M5Gr0uSPBdwHD7xqMFx4P8+fyrvlyMqyGVFpdMuLx25zOXeEXbeWsun378Z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\nXNaJQAcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a230a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(data.hum.values, bins=30, kde=True)\n",
    "plt.xlabel('hum', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rg8DHgL9JaETimub2YXKyndRXFVodSkpzZznxF3q43DnK5HTQ6nCESJoVE7jW+ofAB6Kf\n1gHDCY1IADAyPkPv0BSbq4twOjLzBPrVqCrJI2ya6DY5rV5kjpiWNmitg0qprwIPAG9Z7rI+Xy4u\nlzMescVFaWm+1SGsie6KLB/c11gGQL43PRpZJWocm2qLOHNpgEs9Y9xzcGNCfsZCdn1cvZKMw95i\nXpumtf5dpdSfAc8rpbZrrRfdOTE0lDrrcUtL8wkE7Lky4di5SM27ujiy/ntsfNrKcOIi3+tJ2Djy\n3E48bifHm3oTfp/b+XG1kIwjtazlj9CKJRSl1LuVUh+NfjoJhKMfIoGa24dxOR3UVxRYHYotOBwG\njRt89A5NXTu9SIh0F8ubmD8A9imlngIeAf5Yay3PkASanJ6jo2+cTVUFZLlkpWesdjRE1svLckKR\nKVYsoURLJW9LQiwiqqVzBBPYUltkdSi2ci2BXxnk1XurLY5GiMST6V0K0tH131trZfngapT7cvAX\nZNN0dUhOqxcZQRJ4CmpuG8ZhGGyS9d+rYhgGOxr8TEwHudw9anU4QiScJPAUMzUT5Er3GA2V+eRk\nSwOr1dqzyQ/A6ZZ+iyMRIvEkgaeYix3DhE2Txjrpf7IW2+p9uJwOTrcMWB2KEAknCTzFXLgaqX9L\nAl8bj9tFY10RHYFxBkbsv3ZeiOVIAk8xTVeHcDkNNldL/Xut9mwqAeDMJSmjiPQmCTyFTEzP0dY7\nxsaqQrKzUqcdgd1cq4NfkjKKSG+SwFOIbhvGBLZJ+WRdSopyqC7No+nqEDNzIavDESJhJIGnkKar\nkU56ksDXb+/mEuaC4Wu/UyHSkSTwFHKhbQi3y0FDpfQ/Wa/5OviJ5oDFkQiROJLAU8TIxCydgQm2\n1BRK/5M42FhdQJHXzcnmAMGQ9F4T6UkyRYo4H23AtK1eDjCOB4dhcJ0qY2I6yAUpo4g0JQk8RZy7\nEkngOxskgcfL9dHDMF640GdxJEIkhiTwFGCaJueuDFKQ56amzGt1OGljc00hhV43J6SMItKUJPAU\n0BGYYGRilh31PhyGnH8ZLw7D4MDWaBlFzsoUaUi6JaWAs1ciG04cDoPDpzp/4/vpch6mFQ40lvL4\niQ6OXehjZ4Pf6nCEiCuZgaeA+fp3VUmexZGkny01RRTmuTmuA8wFpYwi0oskcIvNzIVobh/Bl58t\n7WMTwOEwuGlHBRPTQU5Ji1mRZiSBW6y5fZhgKCyz7wQ6uLsSgKfPdFsciRDxJQncYmcvz5dPci2O\nJH1Vl+SxsaqAs1cGGByVFrMifUgCt9iZS/1ku52U+XKsDiWt3bK7EtOEZ8/2WB2KEHEjCdxCvYOT\n9A5Nsb3Oh9Mhd0UivaqxHLfLwdMvdmOacuCxSA+SNSw03696z+YSiyNJf7keF9epUvqGptBtw1aH\nI0RcSAK30PyJMbs2yvrkZDi0rxqAx461WxyJEPEhCdwi07NBdNswG8q9+PKzrQ4nI2yuLqShsoBT\nF/vpHZy0Ohwh1k0WHifJK3dYtvWOEQqbFHqzF919KVZvpd/job3VvOZVtXzuR+d47Fg777pHrfr6\nQqQSmYFbpCMwAUBNqaz/TqbrVCn+gmyefrGb8ak5q8MRYl0kgVvANE06AxNkZznxF0qfk2RyOhzc\ndaCW2bkwh0/KKx9hb5LALTAwMs3UTJCasjzpPmiBW3dXkZPt4tEX2pmaCVodjhBrJgncAm194wDU\nSu9vS+R6XNz7qlrGp+ZkRYqwtWXfxFRKZQFfBuqBbOATWusfJyGutNbeO47TYUj/EwvddaCWx451\n8MjRNu7YX4M3J8vqkIRYtZVm4O8CBrTWtwL3Ap9JfEjpbWR8lpGJWapK8nA55QWQVXKyXdx3Yx1T\nMyEefr7N6nCEWJOVMsh3gY9H/28AUjBcp/a+MQA2lEv5xGp37K+m0Ovml8fbGRqbsTocIVZt2RKK\n1nocQCmVD3wP+NhKN+jz5eJyOeMTXRyUluZbHQLw0qk6Xf2TGEBjvR/PKvp/p8upPFaOY7HHwrtf\nu53PfPcUP3nuKjtW2BG78Pqp8rhaLxmHva2YQZRStcBDwL9rrb+10uWHhlJnh1tpaT6BwJjVYQAw\nNj7N5HSQnsFJyotzmJsLMjcX2wuafK+HsXH7t0G1ehyLPRb2Nvioq8jn8IkOPFkGZb6l2/rOXz+V\nHlfrIeNILWv5I7RsCUUpVQ48CvyZ1vrLa4xLRHUEIqtPNpRl5mwhFTkcBu+8aysAR5v6CEunQmEj\nK9XA/w/gAz6ulDoc/ZDG1WvU3ivLB1PR5ppCbtpRweDoDM3t0qlQ2MdKNfAPAx9OUixpbTYYontg\nEl9+Nt5cWbKWat56+yaO6T5O6n5qS73kybJCYQOyji1JugIThE1TVp+kqCJvNgcaS5kLhTlyvlcO\nfRC2IAk8SWT3ZerbXF1IhT+XzsAEV7rt/6aYSH+SwJMgGArTGZjAm5Mlvb9TmGEY3LSjHJfT4IWm\nPumTIlKe9ANPggttQ8wFw2yuLsSQ5lWWiaXven6um71bSjh2IcALTX3ctrcqCZEJsTYyA0+Ck82R\no9Nqpf5tC411PkoKPbT2jNEeLX0JkYokgSdYOGxyvDlAdpaTsiJZgWkHDsPg5p0VOAw4cq6X2bmQ\n1SEJsShJ4Al2sWOY0YlZNpR7cTikfGIXRfnZ7N7kZ2omyAsX+qwOR4hFSQJPsGMXAgDUVcjuS7vZ\nudFPcUE2lzpH6ZBSikhBksATKGyaHGvuI8/joqJ46R4bIjU5HAYHd1XiMOC5cz1yhqZIOZLAE6il\nY4SR8Vn2by2V8olN+fKz2bO5hKmZEN96rNnqcIR4GUngCXRMR2qnBxrLLI5ErMeOhmJKCj0cOd/L\ncS31cJE6JIEnSNg0Oa4D5HlcbKvzWR2OWAeHw+DmXRW4nA6+9ohmZFwOfxCpQRJ4glzuGmVobIa9\nW0rk6LQ0UOTN5k23bWRsco7P/uCM1eEIAUgCT5hj0aVn10v5JG3cc30tm2sKeeZ0F0ebeq0ORwhJ\n4IlgmibHdB852S621xdbHY6IE4fD4P33bcOd5eTrUkoRKUASeAJc7h5lcHSGfVI+STvlxbm853Xb\nmZgO8rVHtLSdFZaSZlZxsrBR0nz5JNvtjKmBkrCX1x1s4KkT7Zy82M+zZ3s4uKvS6pBEhpLpYZyZ\npsnVnjGynA6qSmTzTjpyOAzee982PG4n33ismd7B1DnIW2QWSeBxNjA6w8R0kJqyPJwO+fWmq9Ki\nHB68VzEzG+JzPz5HMBS2OiSRgSTDxNnVnlFAep9kghu3V3BwZwVXe8b4/pOXrA5HZCBJ4HFkmiZX\nusfIcjmoLsmzOhyRBO+8Zyvlxbk8crRdlhaKpJMEHkd9Q1NMTgfZUO7FKatPMoLH7eIPH9hJttvJ\nl3/eRFuvnKUpkkdWocTRle5I+aShssDiSEQizK8oyvd6GBufftn3btpRzuGTXfy/77/Ix373AIV5\nbitCFBlGpolxEg6bXO0Zx+N2UuGX1SeZZkN5Pr91SwMDo9N8+tunpPWsSApJ4HHSNTDBzFyIhsoC\nHHJwcUZ6w8F6bt9fTUdgnH/6zmk51V4knCTwOLnSFSmf1FfK6pNMZRgG77x7Kwd3VnCle5RPffuk\nbLcXCSUJPA5mZkO0943jzcmipNBjdTjCQg7D4D33NXJwVwVXusf4xNeOycn2ImEkgcfBqZZ+giGT\nhqoCDCmfZDynw8H77tvGm1+9kYHRGf7m68f45bF2wtI3RcSZrEKJg+fPR9b/Nkj5REQZhsHrbqqn\nojiPrz58gW/98iLHdIB33bOVmlLvktdbqXfOob3V8Q5V2Jgk8HUan5rjxcsD+PKzKfJmWx2OSDHX\nqVI21xTy9Uc0J5oD/NWXjnLjjnLeeEsDZT5ZrSTWJ6YSilLqBqXU4QTHYkvHdR+hsCmzb7Gkwjw3\nf/DATv74rbupKfPy3Lle/uILz/O1RzRDY/Imp1i7FWfgSqk/Bd4NTCQ+HPuZL5/Uy+YdsQzDMNi9\nqYSdG/0cu9DHQ09d5vDJTp55sZs7r6vhvhvr8OZkWR2msJlYSiiXgDcBX4/lBn2+XFwu57qCiqfS\n0sTNjAdGptDtw+zY6KcygT8HIrv/0kE6jyOWx9rDz7XizHLxwO1b0FcHeeF8Lw8/38YTxzu4fnsF\nu7eULLuPIN6P50Q+P5IpXcaxWismcK3195VS9bHe4NBQ6vRGLi3NJxBIXG+KXxy5imnC/i0lv7G1\nOp4W27ptR+k+jlgeawuvV1uaR9Ut9ej2YV68NMgzZ7rQVwe5aWcFvvzF30+J5+M50c+PZEmncayW\nLCNcI9M0+fWZbrJcDm7YJgcXi7VxOh1sry/mjbfW01CZT//IND977iqXOkesDk3YgCTwNbrUOUrP\n4CT7t5aS65HapVgfj9vFrXuquH1/NS6HwTMv9nD0fC/hsKwdF0uTBL5GT7/YBcAtch6iiKPaMi/3\n3VRHkdfNhbZhDp/qIiSn/YglxJTAtdatWusbEx2MXczMhni+qQ9/QTbb6nxWhyPSTEGem9feWEel\nP5eOvnGeONHJXFCSuPhNspFnDY7pPmZmQ9xzoBaHQ7bOi4iVdlGuRpbLwR37q3nydHckiR/v4M4D\nNXG7fZEepISyBk+djpRPDu6W8olIHKfTwaG9VWwo99I7NMWvT3cTCstMXLxEEvgqtfeNc7FjhB0N\nxZQV5VgdjkhzDofBrXsqqfDn0t43zlcf1pjSFEtESQJfpV+djLxMvmOfNBUSyeF0OLh9XzX+gmye\nPtPN95+8bHVIIkVIAl+FqZkgz53twV+QzZ7NJVaHIzJIlsvBnQdqKC/O5edHrvLI0TarQxIpQBL4\nKjx7toeZuRCv3lstb16KpPO4Xfyvt+2hyOvmv59o4dmz3VaHJCwmq1Bi9KuTHfz0uVYcBjidRlxX\nHAgRq7Otg9y6p4pHnm/jSz9r4lLXKLVlL/UXl37hmUVm4DHq6p9kZHyWuop8crLl756wji8/mzuu\nq8HpMHjqVBe9g6nTf0gklyTwGJ29MgDA9oZiiyMRAsp8Obx6bzWmafLEiU4GRu3fJEysniTwGFzq\nGqF3cIpKfy7+gvRohyrsr7o0j4O7K5kLhnn8WAejE7NWhySSTBJ4DH5xJPKO/66NfosjEeLlGioL\nuHF7OdOzIR57oZ2BEZmJZxJJ4CvoHpjgZHMAf6GH8mLZuCNSz9YNRezbUsLEdJC//eZxeqQmnjEk\nga/gJ8+0YgI7G4oxljkpRQgr7drkZ9/WEgZHZ/jbbxznao/9DzgQK5MEvoyrPWMcOd/LhnIvG8q9\nK19BCAvt2ujnwdcoxifn+NtvHudoU6/VIYkEkwS+jO89eQmAtx7aLLNvYQuH9lXzoQd2YRgGn/vR\nOb7zRAtB6SeetiSBL+Fc6yDnrgyyo97HDlk6KGzkOlXKxx48QHlxLg8fbeOvv/ICrT2jVoclEkB2\npCwiFA7z3SdaAHjLoc0WRyPE6lWX5PHxBw/wnV+18NTpLj7x1ePcvq+a1x+spzDPveT1VtphLDs9\nU4vMwBfx6AvttPWNc3BnBXUVqz8pWohUkOtx8Z7XNvKR39lLSaGHx0908Gefe5bvHm5haGzG6vBE\nHMgM/BV6Byf54a+vUJCbxW/fucXqcIRYt+31xXzif9zAr0938eNnWvnFkTYePdrOwd1V3NBYiqrz\n4ZD3eGxJEvgCYdPkK7+4wFwwzPtftw1vjpw2L9KDy+ng9v01HNxVyZHzvfzyWDtPnerkqVOd+Auy\nuWlnJQd3VVgdplglSeALPPx8G7p9mH1bSri+sczqcISIO3eWk9v2VHHr7koC43P8/OlLHG3q46fP\ntvLTZ1spLcphc3UBdRX5uLOcVocrViAJPOrs5QG+f/gSvvxsHry3UZYNirRmGAY7Nvopy3fz9ru2\ncqI5wDMvdnO+dYjA8BRHm/rYUO5lU3UhFf5cKbGkKEngQN/wFJ//8TmcToM/eGDXsu/SC5HKVtOn\nPt/rYWz8pd4pBxrL2Fbn43LXKC2dI1zpHuNK9xi5HhcbqwrYVFWYiJDFOmR8Ah8YmebT3z7JxHSQ\n9762kY1VBVaHJIRl8nKy2LXJz86NxQSGp7nUOUJrzxhnLw9y9vIgFzuGuftALbs2+WVWngIyOoEH\nhqf45H/AihA1AAAKYklEQVSdpH9kmvsP1nPrniqrQxIiJRiGQZkvhzJfDtdvK6O9d5zmjmHOtw5x\nvnWIcl8Odx2o5eCuCjzujE4jlsrY33xLxwif/dFZhsZmeODWBt5wsMHqkIRISS6ng4aqAhqqCthY\nWcAvj3Vw5HwP33ysmYeeusxte6u4c38N/kLplZ9sGZfAw6bJw8+38YMnL2Ni8rbbN3PvDRusDksI\nW9hQns/7XreNNx/axOGTnfzqRAcPPx9ZV75flXLPgVo2VRfIIoAkyagEfq51kO/+qoW23nGKvG5+\n//4dqA0+q8MSwnYK89y88ZYG7ruxjqNNvTz6QjvHLvRx7EIfdeX53Lyzghu2l1MgCwISKu0T+Fww\nxHEd4MlTXej2YQBu3FHO79y5hYJceXAJsR5ZLgcHd1Vy884KmtuHefSFdk63DPBfj1/kv59oYUtN\nIXu3lLBzo58qf67MzOPMME1z2QsopRzAvwN7gBng97TWLUtdPhAYW/4GEywYCtMzMElL1wgtXaOc\n1AGmZoJA5FCGN79606L9TVaz/CrZXrncy65kHKklEeM4tLeakYlZjp7v5WhTL5e7RplPCN6cLDZX\nF1Jb5qW2zEuZLwd/oYfcbFfMiX2x56k3L5uR0SlCYZObd1bidBi4nAZOp8NWK2VKS/NXHWwsM/Df\nAjxa65uUUjcCnwbeuNoftJKwaTIyPks4bBIyzci/4ci/C/8fCoeZnAkyOR289u/45BwDo9P0j0zR\nMzhJMPTS3xB/gYfb91Vz6+5Kyotz4x22EOIVCvPc3H19LXdfX8vIxCxnWvq50DZMc/swp1r6OdXS\n/7LLu5wGHrcLj9sZ/XDhMIjmAa49/4OhMONTc4TCYcJhov+ahBdMGb/9+MvnloYReZWQneW89uHO\ncpKdFf2ae/7z+Y/I191u58uuE7meA3eWE8OIrNJxEPl3/nOP20lOdnKLGrH8tFuAhwG01keUUgcS\nEchnf3iW4zqwrtvIznJSUxr5615fkc8t+2txmWF52SaERQrz3Ny6p+raEt2R8RnaA+N09E3QPzLF\nwMg0o5NzTM8GmZ4NMTA6w/TsBKYJToeBY/7DMMhyGoRNE5fTgSPLwOlw4TAM3FlOTNPE6TAoLcoh\nHDYJhk1CoTChsMlcMMzMXIiZuRDD4zPMzIUTcsiFy2nw1++/gYokThRjKaF8Efi+1voX0c/bgI1a\n62AS4hNCCLGEWPqBjwILi8YOSd5CCGG9WBL4M8B9ANEa+IsJjUgIIURMYqmBPwTcrZR6FjCA9yY2\nJCGEELFYsQYuhBAiNcmZmEIIYVOSwIUQwqYkgQshhE3ZvhfKSlv9lVJvAP4SCAJf1lp/wZJAVxBL\nywKlVC7wGPB+rfWF5Ee5shjuj7cDf0zk/ngR+JDWOv67KtYphnG8GfhzwAS+qbX+F0sCXUGsrTCU\nUv8BDGqt/zzJIcYkhvvjT4DfA+Z3A/6+1lonPdAVxDCO64F/JLJgpAd4l9Z6yX4H6TADv7bVn8gT\n6tPz31BKZQH/BNwDvBr4gFKq3JIoV7bkOACiO2CfAjZZENtqLHd/5ACfAG7XWh8ECoHXWxLlypYb\nhxP4O+Au4CbgQ0qpEkuiXNmyjysApdTvA7uSHdgqrTSO64AHtdaHoh8pl7yjlntcGcAXgPdqred3\nwNctd2PpkMBfttUfWLjVfxvQorUe0lrPAk8DtyU/xJgsNw6AbOABICVn3gssN44Z4Gat9WT0cxeQ\nql2hlhyH1joEbNNajwB+wAnMWhFkDJZ9XCmlbgZuAD6f/NBWZaXnx3XAR5VSTyulPprs4FZhuXFs\nBQaAP1FKPQkUr/SHKB0SeAEwsuDzkFLKtcT3xojM+lLRcuNAa/2M1ro9+WGt2pLj0FqHtda9AEqp\nPwK8REpCqWil+yOolHoTcBo4DEwkN7yYLTkOpVQl8FfAH1oR2Cote38A3wY+CNwB3KKUStVXdsuN\nowS4GfgMkVd3dyql7ljuxtIhgS+31f+V38sHhpMV2CqlS8uCZcehlHIopT4F3A28WWudqhsRVrw/\ntNY/AKoBN/BgEmNbjeXG8VYiSePnRF7Ov0Mp9Z7khhezJccRLT38s9a6P/pK+2fAPgtijMVy98cA\nkYpBk9Z6jshMfdnmgemQwJfb6t8EbFFKFSul3ETKJ88lP8SYpEvLgpXG8XnAA/zWglJKKlpyHEqp\nAqXUk0qp7OgbsBNAyr0RG7XkOLTW/6q1vk5rfYhITf9bWuuvWBFkDJZ7XBUAZ5VS3mgyvwM4nvwQ\nY7LcOC4DXqXU5ujntwLnlrsx2+/EXPCu7m5e2uq/H/Bqrf9jwSoUB5FVKP9mWbDLWGkcCy53GPig\nDVah/MY4gGPRj1/DtT7//6K1fsiCUJcVw+PqA8D7gTngDPBH0dp4SlnF4+o9QKMNVqEsdX+8G/if\nRN5neVxr/VeWBbuMGMZxB5E/pgbwrNb6w8vdnu0TuBBCZKp0KKEIIURGkgQuhBA2JQlcCCFsShK4\nEELYlCRwIYSwKUngImUppf5aKbWqDTJKqY8opb6SoJBijeGnKbwhRqQR23cjFOlLa/2XVscgRCqT\nBC4so5Q6CfxvrfUvlVK/A3wF8Gmtp5RSXwDeCPyD1vpTSqlpIhsc7gaqiGwA+udox8l/jX69D+gl\n2msi2qvkY0R2SYaiP+up6Gao80S2KZcAX5/f+BFt7vT3QF70ev9Xa/3T6PfeD3yIyCvXAeAPtdYX\nlFJVwFejcV0FyhL1OxNiISmhCCs9BNwb/f+9wBBwa3S32uuAEwsumw30R9vQvgX4O6WUh0hC3Qps\nJ5LENyy4zieJ9Bs/AHwcOLTge3XAQSK74H5bKfV6pZQP+E/g3Vrr/cD9wGeVUhuUUq8Gfhe4VWu9\nD/gH4AfR2/o34IjWegeR3YCN6/u1CBEbmYELKz1EpIvcR4j0ffhHIkl4DLhEpKH9Qj+K/nuCSELP\nI9K17VvRJkazSqlvEtmmTPS2H1JK/YxI18N/WHBbn482DBpWSn0XeA2RGXcl8EOl1PzlzOjt3QZs\nBp5d8L1ipVRxNIaPAGitW5RST6z1FyLEasgMXFhGa/0i4FZK3Q+0AD8hcvjG/cD3F7nKVPR68/0f\nDCIJ1lhwmWsdA7XWf0Fkln0MeA/wXHR2/7LLEXkehIj09W7SWu+d/wBuBB6Jfu/rC76+n0gJZmi5\nGIRIJEngwmoPEak5Pxpt0FUIvJPFE/hiHgYeVEp5oiWV3wZQSrmUUq1Antb6c0RKLduArOj13hVt\nbesD3kbkj8cRIt0rb4vexl7gIpHa9qPA26M9tCHSe/rxBTF8IHqdDcDtq/0lCLEWksCF1R4iUjOe\nP9jhMaB7FYdXfJ7IDPss8CRwBSIHLhA5e/NbSqkTwHeB92mtZ6LXywGOEkna/661flxrHQDeDHxS\nKXUa+DqRevhVrfUjRP7QPKaUOgO8A3hT9NXAHwDblVJNwJeAU2v8XQixKtKNUGSc6CqUz2itv2d1\nLEKsh8zAhRDCpmQGLoQQNiUzcCGEsClJ4EIIYVOSwIUQwqYkgQshhE1JAhdCCJv6/7a9dpXC/a2i\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a7666d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(data.windspeed.values, bins=30, kde=True)\n",
    "plt.xlabel('windspeed', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rg0CSutdALYOrgBeBPYF7I6J13FlLJanLDBQGmw3wmiSpiww0muh/myxEktQ5qzM3kSSp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11eac9ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data.workingday, order=[0, 1]);\n",
    "plt.xlabel('workingday');\n",
    "plt.ylabel('Number of occurrences');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 两两特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#get the names of all the columns\n",
    "cols=data.columns \n",
    "\n",
    "# Calculates pearson co-efficient for all combinations，通常认为相关系数大于0.5的为强相关\n",
    "data_corr = data.corr()\n",
    "#data_corr = data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 15)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_corr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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z836WqCiWvL+YFTHL2bhxU855uGoVEydNJiNXfc2aNZvRo0YRs3wZT7RuzYqV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\nK9jfUXhS2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8/BVqKio2nY4DUAvL1qc+TIUeu0Mzny1/HxJnJ/FACVK7sxL3h2tnX9ffUq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pWDy/17Fj8WqcHYQQQgghhHiFyLdCZTFVVSdmdQYhhBBCCCHEf/dSdSyEEEIIIYT4X2B4DUcs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\nnwHKKjgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122594510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(14, 10))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "\n",
    "# Mask unimportant features\n",
    "sns.heatmap(data_corr, mask=data_corr < 1, cbar=False)\n",
    "\n",
    "plt.savefig('Bikeshare_coor.png' )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weathersit and temp = 0.99\n",
      "casual and registered = 0.95\n",
      "instant and season = 0.87\n",
      "dteday and yr = 0.83\n",
      "windspeed and registered = 0.67\n",
      "instant and casual = 0.66\n",
      "temp and registered = 0.63\n",
      "instant and registered = 0.63\n",
      "weathersit and registered = 0.63\n",
      "season and casual = 0.59\n",
      "workingday and atemp = 0.59\n",
      "season and registered = 0.57\n",
      "temp and casual = 0.54\n",
      "temp and windspeed = 0.54\n",
      "weathersit and windspeed = 0.54\n",
      "weathersit and casual = 0.54\n",
      "weekday and windspeed = -0.52\n"
     ]
    }
   ],
   "source": [
    "#Set the threshold to select only highly correlated attributes\n",
    "threshold = 0.5\n",
    "# List of pairs along with correlation above threshold\n",
    "corr_list = []\n",
    "#size = data.shape[1]\n",
    "size = data_corr.shape[0]\n",
    "\n",
    "#Search for the highly correlated pairs\n",
    "for i in range(0, size): #for 'size' features\n",
    "    for j in range(i+1,size): #avoid repetition\n",
    "        if (data_corr.iloc[i,j] >= threshold and data_corr.iloc[i,j] < 1) or (data_corr.iloc[i,j] < 0 and data_corr.iloc[i,j] <= -threshold):\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j]) #store correlation and columns index\n",
    "\n",
    "#Sort to show higher ones first            \n",
    "s_corr_list = sorted(corr_list,key=lambda x: -abs(x[0]))\n",
    "\n",
    "#Print correlations and column names\n",
    "for v,i,j in s_corr_list:\n",
    "    print (\"%s and %s = %.2f\" % (cols[i],cols[j],v))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#get the names of all the columns\n",
    "cols=data.columns \n",
    "\n",
    "# Calculates pearson co-efficient for all combinations，通常认为相关系数大于0.5的为强相关\n",
    "data_corr = data.corr().abs()\n",
    "#data_corr = data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 15)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_corr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rGPXjAoypqQ7PCLA1OhpjqonvevWiQ8uWTFv+W5acc/5cyZhu3ZjYM5JEQzI7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\nU9K3GH3efdeeIfriRRZv+JGwvn0cmulJOacuXkbspcu4umgZ2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+gIAGcioyhbuqS9rGSJ\nAOKvXCUhMRGz2cyJ0+EEBVZ64rb2HjzEpNHDWTp3FvcTE6jxquMvLCuXKs3hSNsdh6gLFylVLOuk\nvhlffY3JbGF8lxB7N3JOCCqv4+CJUwBE6M9RJsA/x7L8lcqlSnEkOhqwTTJ/dH/O/OYbTGYz4zp1\nsu/Pu4mJDFywgOA336R5zZpOyVU1qDL7Dh4GIDwyirIZXekAJUtm1MuEjHp5KpwqlZ9cL6tVCbRv\n68TpcEqXKvnEZf92zsqV2H/kKABnomMoU6rEw5wB/sRfvUZCYhJms5mT4RFUqViB5WHT+SJsGstm\nT0NXphTjhgygYP787Dt8lAnDBrF45mTuJybxekZXuCP8k+/5nbt36RLaj9BuIbRr5fhepr9yO+46\nvoG2jAVLFeX+tT/sZVoPV1qP+xQXN9uQCp8K/ty5dJMCJX34PSaerZPWcfn4OZJvJzg9Z1D5chw6\naet1jTwXm63J0Jv37GPVho0AuLu5olKpUamce8oKKleOQxnD/CJj4yhd/Ok5F44axoJRw5g/cihl\nA/wZ0TWYAk64KfRvU6lECY7E2IbKRF++REmfrMO+Zq//DpPFzJhPPrMfM7cePWKfK/FHQgKG1DQK\n5Mrt8GxVKlbgwLHjAETEnKVMiQB7WUn/4ly5dt1+PDoVEUVQBdvwn5MRUbyaMRTvgV937OLbnzax\neOpE/B55MMCzZSzPgWO2eUARZ/WUzpyxuB9Xrv9OQlJGxshoAsvryOXtZb/jnyeXNxaLBavVyoFj\nJxg3oA8LJ44hITGJ1x/5G54pZ4XyHDz+IOc5Smc6hz+a83RUDIHlyxEdG8erVQJZOnU8jWvXxNfn\n4QNejoafsQ/dEi+2f8NTmB69NZYKFNXpdJeAqkDME5ZzqEb163Lo2HE+Du6GoiiMHTaYX7dtx2Aw\n8nbbN+nXqztdQ/tjVRTatmpBkUxP6HmUf3E/gnv1xd3NjVf/U426tWo4PG/dqlU4fjaG7tOmoSgw\n6OOP+O3oMYxpaegC/Pn14EGCypSmz2zbk6HebtSQulUdN+Y9uxrUeI2j4WfoNGg4CgojenZj6579\nGFJTadf0v889z5PUCQrihF5Pj5kzARj4wQfsOH4cY1oa5fz92Xz4MIGlStFv3jwA2tevT3hcHEkG\nA6u3bmX11q0ATO7SBTcHNtgaN6jH4WPH+ahzVxQFxg0fzKat2zEabfWyf+8edAntj9VqpV3rFhQp\n/OR62b9Xd0ZPnMq3P/yIt5c3U8aOdFjORnVrcfjEST7p0QdFURgzqB+bf9uFwWjkrdYt6NctmG4D\nh6JYFdo0f4PCjxm29oC/ny8h/Qbj7u7Gq1WrULfGa47L+Q++51NmzSExKZklK75kScZDAObPnIp7\nponfzhJ/MpaiFQNoOvQ9VMDB5Vsp8Xp5tO5aYvdEcGr9PpoM7IDVks7v0fFcj7iIm7cHVdvVJrDl\n65iMaRxasdXpOeu/Vp2jZyLoPGw0KArDuoewdd8BjKlptG3S6LHrNHj9VcYvWELXkWOxWNIJ/exD\n3J08Mbj+q69wLCKS4JFjUVAYFtKZbQcOYkhNo23jhk793S+b2pUDORF7jt7z5qAoCv3/9y47T53A\nmGainF9xthw7SuWSJRmweCEA7erUpdlrrzPtm68JnT8XlQr6dfifU+5EN6xdgyMnT/N56EAUFEb1\n7c2WnXswpBpp36IZfUI60nPYKKxWhTeb/pfCGcPrLl+9hm+mp3Klp6czfcFSfAoXYsC4SQC8EliZ\nkI/ff+aMDWq+zpFT4XzebwigMDK0B1t278VgTKV98zcI7fQpPUeMRbEqtH6jMYULFuD9tq0ZN3s+\nnQcOw2y20O2TD/Bwd6d4saJ0GzoKdzc3qgdVpvarrzxzvoc5X+PI6XA6DhiKosDI3t3ZsnsfxtRU\n2jVrQminT+k1cjyKotC6SUMKFyiAq4uWYWvWseLbH8jl5cnwXt3s27t89XqWfSxeXCpnd10/C51O\n9ylQXq/XD86Y93AWGAsMAC4BCcCWjJ+76PX6d3U6XXlgkV6vb6DT6fICh/V6ffm/+j2pd268uDsh\nw71wx00UdSaPok++8HuRpMTfePpCOazga8+/QfdPpBsNT1/oBaB283j6QjnsuwFrn77QC6BlaP2n\nL/QCUF6AuQBP07DdwJyOkG2/zH3xs+YLKpPTEZ5KyZhX9aJTrNacjpAtecoFvrDPSo376ofndn1Z\n5v32z3U/vNA9EHq9fmWmn1OBEhkvlz9m8d0Zy50FGmT8fB/4y8aDEEIIIYQQjib/HwghhBBCCCGE\n4AXvgRBCCCGEEOJf6eXtgJAeCCGEEEIIIUT2SQ+EEEIIIYQQDpb5f+z5spEeCCGEEEIIIUS2SQ+E\nEEIIIYQQjiZPYRJCCCGEEEIIaUAIIYQQQggh/gZpQAghhBBCCCGyTRoQQgghhBBCiGyTSdRCCCGE\nEEI42Es8h1p6IIQQQgghhBDZJz0QQgghhHiqVj2n5nSEbDmwZ0lORxACANVL3AUhDQjAeON6Tkd4\nqvQ0c05HyBYPH5+cjpAthuu3czrCU6nUmpyOkC0aT6+cjpAtSro1pyM81VuT3snpCNliiL+a0xGy\nJT3VlNMRnuqXuQNzOkK2/FsaDwDGazdzOsJfMqek5nSEbLGa03M6QrbkKReY0xH+X5IGhBBCCCGE\nEI6mfnl7IGQOhBBCCCGEECLbpAdCCCGEEEIIB3uZ50BID4QQQgghhBAi26QBIYQQQgghhMg2aUAI\nIYQQQgghsk3mQAghhBBCCOFoL+8UCOmBEEIIIYQQQmSf9EAIIYQQQgjhYPIUJiGEEEIIIYRAGhBC\nCCGEEEKIv0GGMAkhhBBCCOFgKrUMYRJCCCGEEEII6YH4J6xWK9OWLCf2UjxarQtDuwVTvKhPlmVS\n09LoOXoiw7oHU8LPF4vFwvj5i/n91m3MZgufvt2Weq9Vd2rGsO+/4/y167i6uNDv3XfxLVTIXr7z\nxAnW79mDRqOmZNGi9H77HRRg5rp1XLl9CxUQ2qEDJYsWc0q2CdNmoo89j6tWy+ihA/Ev7mcv373v\nAIuXr0Kj0dC2VQvebtvaXnYmMprZ8xexfOGcLNvctHU7X3/3A2uWLXR43geZZ6/7hvPXrqF1cWHA\nB+/jW7iwvXzHseN8v2snGrWGUsWKEfru/1Crbe3z6IsXWfLjRmb3CXVonvFTpqOPjcPV1ZUxwwY/\nsg/3s2jZCjQaDe3ebMXbbd984jp37t5j9MTJJCYmYbVamTh6OMX9/Nh38BCLli1HUaBieR3DBvb7\nxxPCrFYrE6bOzPjdWkYPHfTnz/yLlbbPvHUL3m77pr3sTGRUxmc+F4Cz52KZNH02Go0aV62WCaOG\nU6BA/n+4Jx+Tc/oszmXso1FDBuDvlynn/gMsyVQ332qTqW5GRRO2YDFfzA8D4M7de4ydPI3EJNt+\nHT9iKMX9fB2SceLMOZw7fwFXrZaRA/vin2m7ew4cYsmqNbaMLZrRvnULe9nde/d4v1N3Fs6cTMkA\nf/v70+cuJMDfj3cy/T2OZLVamb5yNXHxV3B1cWFwp8/w8ymSZZnUtDRCJ09nSOfPCShWFIAvf/qF\n/SdPY7FYaPffRrRuUM8p+TLnnLn2a85fuYLWRcvATz7Cr0jhLMukppnoO3M2gz79mICiPlgs6Uxc\nvoLf79xBo1Yz4OOPCHjkfODojHM2rOfC9etoXVzo+04HfAtmOrafOsmGfXtRq23H9l7t3kKtVtN1\n9gw83dwB8MmfnwH/e89pGbMrsGoFQgeH0PFdxx0b/y6r1crMNWuJu3IVrYsLgz795DGfeRp9Zsxi\n8GefEFC0KL/uP8DmAwcBMJnNxMVf4cfZM8jl6em0jGHffms///R///0s5/Mdx4+zfvduNGo1pYoV\no3eHDlgVhalr13Lzzh1MFgsfNmtG7cBAp+TLnHPO+u85f92Ws1+HR647Tp7gh7170Kg1trr51tv2\n8+S9pCS6zZrBlJCu+Bcp8qRf8e8jk6ifTKfT+eh0ugV/Y/kbz/o7/8bvWqfT6Ro4ert7jh4nzWxm\n2eSxdP/wPeasXJOlPCbuPF2Gj+HazZv297bs2U8eb28WTxjNrBGDmbFspaNjZXEgIgKT2cK8Pn3o\n1Lo1izb+aC9LM5lY/usmZvTowZzeoaQYUzkcHcWhyEgA5vQO5bMWLVm+aZNTsu3cs4+0NBNrli2k\nd/cQps+Zby8zWyxMC5vH4rAZrFg4h/Ubf+bOnbsALF/9FaMnTSHNZMqyvRj9OTb8vAlFUZySF2B/\n+BlMFjPzB/QnuG0bFvzwg70szWRi+c8/Mys0lHn9+5GSarTvy6+3bWf62q8wmc0OzbNzz17STCbW\nLl9CaPcuTAubay8zWyxMnTWHxXNnsXLxfL7fsJE/7tx94joz586nZdM3WLVkAT27dObipXhS/o+9\n+w5vqnr8OP5O0nTTsgrdG27pYCN7CyioKG6+bhRk7yUOEBciZYksQVyAIiIoW0Bkj5ZROm6htBQo\nUFahNGn274+UtCkgVROq/s7refpAcu69+fTuc885aVERibPm8GniVJZ+sZDAgACuFhT8jbw70Ol1\nfLNoHkMHvM4nM8tt8xmzmT8rkS/mzWblT2W3+bdM/OBjdLrSbT4lcSbjRw1j8dzZdO7QnsVff/uX\nc92S8/ed6PV6vl44l6H9+zJtVumpzWA08snMOcybMY3Fn5Xsm1esOb/4ZimTPvzYbt+c8dk8une7\nny/mzmZg3z5kn8p1SMZtO3ah1+v5au4shvTrQ+Kc+XYZp0q3cbgAACAASURBVH06j7nTPmLRrGms\n/Hktl69ctZW998lM3NxcbdNfKShg4Og32L5rj0Oy3cnvScnoDQYWTHyT1595ktlLl9uVp5/MZsB7\nH3E2P9/2XnJaBseOn2De22/w6ZvjyC/ZJ5xpx6HD6A0G5r4xjn6PP8acFT/YlWfk5DD446nkXbxo\ne29PSgoms5m548fy4kM9WLjqp/KLdahdqcfQG4zMGjyUPt17MP/nNbYynUHPkg3rmfr6AGYOGkJR\ncTF709PQGwxYLDCt/0Cm9R/4j6g8vNzvWSZOGWO3P1aGHYcOozMYmDdhPK8/0Ys5331vV56RncOg\nj6aSl1+6zbu3ac3ssaOZPXY0UlgYQ3s/67TKA8DOo0fRGwx8OnIkrz3yCHNXrbKV6fR6Fq9dS+KQ\nIcweMYIbWi17UlPZfOAAPl5ezBw+nCkDBjB7xQqn5btp17EU9EYDs4cO59UeDzNvzWq7nF+sX8cn\nAwYxc8hQioq17E1LA8BoMjFjxfe4qtVOzyg4zt+uQMiyfF6W5QGOCPNvcSRdpmWjBgDES3XIyDpp\nV643GJkydiRhQaVP7zu1akHf3k+VvLKgUqmcmjHl5Ema1asHQGx4OPLp07YytYsLs4YNw93VeuI2\nmc24uqhpU78+I55+GoALV6/i5eHhlGyHjqTQumVzABrEx5GWIdvKsrNPERIchI9PFdRqNY0aJJB0\n+AgAIUGBTP/wPbtlFVy7xqy5CxkzbLBTst6UkpXFfbGxAMRGRJBZ5mZQ7eLC7FEjS9enybo+AQL9\navJu39ccnif58FHatGwBQIOEeNLSM2xlJ7NzCA0OxtfHp2Qd1ifp0OE7znP4aAoX8i/y6sChrN2w\niaZNGnH46DHqREfxyYzZvPhaf2pUr0b1atX+ct5DR47SukXJNk+IIy2jNG92ds4fbPMgpn9kv80/\nfm8iMXXrAGAymXB1ddwNyKEjR2nV/D4A6sfHkVp238wpv2/Wt8uZWG7fvLle+w4ZwbpNv9K0cUPH\nZExJpVXzZtaMcbGkyZmlGU/lEhIUiE+VkowJ8SQfOQrA9DnzeaJnD/xq1rBNr9Voef3l5+nR9X6H\nZLuTo/JxWtS3Pv2Mj44iIzvHrtxgNPLhsEGEBQTY3tuXkkJkcDDjZ8xmzLSZtCo55zpTyokTNI+P\nAyAuKhI555R9ToOR9wb2J9S/tIUhpHZtjCYTZrOZouJiXJx8bk/NzqZZTAwAsWHhZJ4pc25XuTBz\n0JBbzu1Z5/LQGfSMXTCP0fM+I+1UjlMzVsTp3LMM7/dmZcfg6PHjNI+PByAuKoqMcttcbzTy/uAB\nhN6mVSkjO4fsvDwecXLL2LGTJ2lW5voj55a7/gwfXm6bu9ChUSNe6dEDAAugUjq/x/qx7JM0iym9\n78gsf98xpNx9h9raCWb+mtU81KoVNXx8nJ7xXlMoFPfs516rcBcmSZKSgAeBq8BloIMsy8mSJF0B\nTsmy3EiSpKPAdqA+1n22J3ADWADEAVmAW8nyegFjAQOQBzwDvA3EALWAasBgWZZ3SpL0JDACMAE7\nZVkeJ0mSL7AIuHk1HCLLcookSQOBV4FzJctxuCKNFq8yTxuUSiVGk8l24WhQT7plHk8Pa9NxkVbL\n+Kkz6PfsU7dM40gaXTFe7u621yqFApPJhEqlQqlUUr2K9UBd9fvvaHU6mkjWzCqVio++/YZdR4/y\nzsuvOCXbjaIivL28bK+VSiVGoxEXFxduFBVRpUyZl6cnhTeKAOjSqQNn887ZykwmE++8P4XRQwfi\n5ubmlKw3aYqL7SpUSqXSfn2WnPh+3PYbWp2OpvWsF/j2jRpx/vJlh+cpKirC27vsOlTZ1mH5Mi8v\nT27cuHHHefLyzuHjU4XP58xk7ueLWfzVN4SHhbL/YDI/fLMET08PXuw7gAYJ8YSX6fbyZ9woKsLb\n27vMZ5fd5hqqlCmzbvMbwK3bHMCvZk3AeoO+7Icf+WLebBylSKOhSpl1pFLZ75tl15+npwc3SvbN\n+zu25+w5+5x5587jU6UKC2YlMm/xEr74ZikDX+vz9zOWO35USiVGowkXFxVFRRq7Mk9PDwqLiliz\nfiPVqlal1X3NWPxN6dP/oMAAggID2LX3wN/O9YeZtVq8PEuPH1W5c2b9kgphWdcKb3D+0mWmjhpG\nXv5FxibOYtnUD5x6oSzSlj/OFXY5E+pE3zKPh7sb5y9f5rm33uFa4Q0+GjLIafkAisqd28ufi6pV\nqQLATzt3UKzT0aRuXXLOn+PJ9h148L4WnL10kTc+X8gXY8Y5/UHWH/l1/e8EBjuvq1dFFWmL8S53\nbrfbN2+zzW/6eu06Xn7EOd3+ytIUl7ue3+n6s307xTodTWNibMeJpriYSYsW8cpDD92DnLpy+6bi\ntvvmqh0l9x11JTbu34evtzfNYuqxbMuvTs8oOM6fqZKuBroBbYBs4H5JkmKBTYCuZBofYJksy+2B\ns1grHI8B7rIstwDGAzfvvJ8Fpsqy3Ab4pWReAI0sy52A54A5kiRVByYBnUumDZIkqQvwBrBFluWO\nQF9griRJtYGhQAuslRentI16eXqg0Wptr81mS4WeOl24dJmBb0/mwfZt6NautTOi2Xi6uaPV6Wyv\nzRb7Vg+z2cy81T+RJMtMfOUVu4vyuP89x5cT3mTad8vtluEo3l5eaDSaMlksuLi42MqKypQVaTRU\nqeJ9yzIA0jJkck+f4b2PExnz1iROZucwZfqs2077d3m6u6MpLi7NfJv1OXfljyRlZDCp72tOfxrg\n5eVFUVGZdWgx29ahV/l1WKShSpUqd5zH19eXjm3bANChbRtS0zOo6utLfGw9atasgaenJ00aNSQj\n8/hfzvvH29zTLpf1Jv722/ymDZu3MHnKJ8xJ/PhvtYyU5+Xpabfuyu+bZX8HjUb7hzl9fX3p0NZ6\nnLdv3cqupe1vZfTyQqMpc/6xWHBxUZWU2ee/mfGntRvZezCJV4eMRD6RxVvvf8yle9AlyJbZwwON\ntszxU4Fzpq+3N83rx6N2cSEsMAA3VzUF1wudnNP+OLdY7p5zxeZfuS8ujqXvT2bxxLf4YPESdA7u\nsmiXsdy53XKbc9H8n9eQdDyTt194CYVCQZBfLTo3boJCoSDYrxY+Xp5cLrzutIz/Jrduc3OFrueF\nGg2558/TuORhkTN5ut/9ej531SqSMjKY+OqrtutP/tWrjJg1iy7NmtG5qfPGXJbmdENzt31zzWqS\nM2Xeecl637Fh/z6SZZkRc2aTdfYsU5Z+y5XrYt/8N/gzFYgfge7AA8AE4H7gESCp3HSHSv49DbgD\ndYH9ALIs55a8D9YWhU6SJG0HWgHmkve3lkybCvgD0YAfsE6SpN+AWCAKSABeKXlvIVC95P1UWZZ1\nsiwbbn6uo9WPqcvu5MMAHJOPExUWctd5LhcUMGTSBwx8vjcPd+7ojFh24iMj2FfSvzAtJ+eWwdDT\nv/8evcHIu3362JoUNx84wNLNmwFwc3VFqVCgdMKNcMP68ezYvReAI8dSqRMVaSuLiAgj9/QZrl27\njsFgIOnQERqUdCkoLyEullXLvmLx3Fl8PPkdIiPCGTt8iMPzAsRHRbIvNRWwDoqODLRfn4nLlqE3\nGpjcr69tfTpTowYJ7Nht7bd+JOUYdaKibGWREeH26/DwERokxN9xnsYN69veTzp0mOjICOpJEiey\nTnK1oACj0cjRY6lERUb85bwN65f97FTqRJfd5uG3bvOE+Dsu65f1G1m24kcWfzab4CDHDvJvVD+B\nnXv2AdbB23WiSn/niPCSffN66Xqtn3D7ffPmsm7u58mHjxIV8dfXX1kN4+PYubckY2oa0WW2S0RY\nKLlnztoyJh9JoUFcLIs/TWTR7EQ+nzUNKTqKyRPGUNNBA88rIqFuHfaUdKU6diKLqDID6O+kvlSH\nvUdTsFgsXLx6FW2xDp87PExwlPjoaPamWMcvpWadJDLo7oPeq3h62VotfLy8MJV0Z3KWuPBw9qWn\nA5B2KocI/wC78hkrV6A3Gpj04su2c9HG/ftsYyUuXbuGplhHjSr/ve4if0VCdDR7UlIASM3KIjLo\n7vsmwBE5kyYl3YSdLT6y3PUnwH6bJy5fjt5gYPJrr9m2+ZXr1xkzZw59e/bkwZYt70nOuPBI9qeX\nve+wzzl9xffoDQYmvVx63zF90BASBw0mceBgooKCGNv7f7YWFeGfrcJdmGRZPiZJUiTWm/rxWFsA\nemLtLvR4mUnLj2RNw9o9aaYkSYHAzTNyX2CiLMv5kiTNx9pSAdAE+EaSpHisrRjZWCsdXWRZNkiS\n9BJwGGvF5BtZlpdKklSrJMdxIE6SJA9ADzQC7Ec4O0CH5s04cCSF18a/jcUCbw7qx8bfd6EtLubR\nrp1vO8+XK1dTWFTE4hU/sniFdQDu9DfH4e6kAWRtEuqTJMsMnjEdiwXG9O7NlqSDaHV66oaEsH7f\nXhIiIxk1xzqYtVf7drSpX5+py5YybNYsjCYTAx7rhZsTboY7d2jH3gMHef61/lgsMPnNcazduBmt\nVssTjz7CqKGDeH3YKMxmM4893J3atfzuvlAna9ugAUnpGQya+gkWYOzzz/HrgQNodTqk0FDW7d5D\nQlQUI2ZaW0Ae79iBtg0d0+f9djp3aM+efQd4rk8/LBYLk9+ewNoNm9BotTz5WE9GDxtMvyHDMVss\nPPZwD2rX8rvtPACjhg7mnfc/5LuVq/D29mbK5Hfw9fFh6MDX6TdkBADdOneyq+j9+bzt2Lv/IM+/\n2t/62W+Nt25zjZYnHnuEUcMG8frQkSXbvMcdt7nJZOKjxJkE1K7N8HHW/E0aNWRg37/fNQigU/u2\n7DlwkBf6DsBisfDuhHGs27QZjca6b44cMpD+w0Zhtlh49KHu1Pa78745cvAAJn30MStWrcbb24uP\nJr7tmIztWrP3YBIv9h+KBQuTxo1i/eataLRaHn+kByMHvc6AUeOxmC307N6NWn41HfK5f0f7p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X7fgdrV5Hk7oSG/fvx9fL23bjdC8UabR4lXkSVnZ9AjSoJ1G7Zg27eTw93PHy8KBIq2X81Bn0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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122157b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(14, 10))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "\n",
    "# Mask unimportant features\n",
    "sns.heatmap(data_corr, mask=data_corr < 1, cbar=False)\n",
    "\n",
    "plt.savefig('Bikeshare_coor.png' )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weathersit and temp = 0.99\n",
      "casual and registered = 0.95\n",
      "instant and season = 0.87\n",
      "dteday and yr = 0.83\n",
      "windspeed and registered = 0.67\n",
      "instant and casual = 0.66\n",
      "temp and registered = 0.63\n",
      "weathersit and registered = 0.63\n",
      "instant and registered = 0.63\n",
      "season and casual = 0.59\n",
      "workingday and atemp = 0.59\n",
      "season and registered = 0.57\n",
      "temp and windspeed = 0.55\n",
      "weathersit and windspeed = 0.55\n",
      "temp and casual = 0.54\n",
      "weathersit and casual = 0.54\n",
      "weekday and windspeed = 0.51\n"
     ]
    }
   ],
   "source": [
    "#Set the threshold to select only highly correlated attributes\n",
    "threshold = 0.5\n",
    "# List of pairs along with correlation above threshold\n",
    "corr_list = []\n",
    "#size = data.shape[1]\n",
    "size = data_corr.shape[0]\n",
    "\n",
    "#Search for the highly correlated pairs\n",
    "for i in range(0, size): #for 'size' features\n",
    "    for j in range(i+1,size): #avoid repetition\n",
    "        if (data_corr.iloc[i,j] >= threshold and data_corr.iloc[i,j] < 1) or (data_corr.iloc[i,j] < 0 and data_corr.iloc[i,j] <= -threshold):\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j]) #store correlation and columns index\n",
    "\n",
    "#Sort to show higher ones first            \n",
    "s_corr_list = sorted(corr_list,key=lambda x: -abs(x[0]))\n",
    "\n",
    "#Print correlations and column names\n",
    "for v,i,j in s_corr_list:\n",
    "    print (\"%s and %s = %.2f\" % (cols[i],cols[j],v))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
